Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: A system and method for providing dynamic cathode stoichiometry control in a fuel cell during stack load transients to minimize relative humidity excursions. Particularly, changes in the cathode stoichiometry is controlled as a function of time in response to a decrease or increase in stack current density. Thus, if the stack current density drops to a predetermined current density, the dynamic stoichiometry logic will monitor the low power condition and determine if the condition is sustained, i.e., for an extended period of time. If the low power condition is not sustained, then the cathode stoichiometry does not change, but if it is sustained, then the cathode stoichiometry is increased. The same delay in changing the cathode stoichiometry can be provided for a transition from a low power condition to a high power condition.

Abstract: A fuel cell system that employs a technique for nitrogen bleeding. The fuel cell system includes a fuel cell stack having a first sub-stack and a second sub-stack, where the hydrogen gas flow is flow-shifted between the sub-stacks. A first nitrogen bleed valve is provided in an anode gas input line coupled to the first sub-stack and a second nitrogen bleed valve is provided in an anode gas input line coupled to the second sub-stack. When the first sub-stack is receiving the anode gas, and a nitrogen bleed is requested, the first bleed valve is closed and the second bleed valve is opened to provide the nitrogen bleeding. When the second sub-stack is receiving the anode gas, and a nitrogen bleed is requested, the second bleed valve is closed and the first bleed valve is opened to provide the nitrogen bleed.

Abstract: A method for implementing a control function via a sensor having a touch sensitive control input surface. The method includes detecting a contact with the touch sensitive control input surface, determining a pressure value corresponding to the contact, and initiating a control function from a set of possible control functions based at least in part on the pressure value.

Abstract: This invention relates to flexible, transparent and conductive coatings and films formed using carbon nanotubes (CNT) and, in particular, single wall carbon nanotubes, with polymer binders. Preferably, coatings and films are formed from carbon nanotubes applied to transparent substrates forming one or multiple conductive layers at nanometer level of thickness. Polymer binders are applied to the CNT network coating having an open structure to provide protection through infiltration. This provides for enhancement of properties such as moisture resistance, thermal resistance, abrasion resistance and interfacial adhesion. Polymers may be thermoplastics or thermosets, or a combination thereof. Polymers may also be insulative or inherently electrical conductive, or any combination of both. Polymers may comprise single or multiple layers as a basecoat underneath a CNT coating, or a topcoat above a CNT coating, or combination of the basecoat and the topcoat forming a sandwich structure.

Abstract: A method for making a nanocomposite electrode or circuit pattern includes forming a continuous carbon nanotube layer impregnated with a binder and patterning the binder resin using various printing or photo imaging techniques. An alternative method includes patterning the carbon nanotube layer using various printing or imaging techniques and subsequently applying a continuous coating of binder resin to the patterned carbon nanotube layer. Articles made from these patterned nanocomposite coatings include transparent electrodes and circuits for flat panel displays, photovoltaics, touch screens, electroluminescent lamps, and EMI shielding.

Abstract: A fluid control device includes an elongated member adapted to be disposed along an axial length of a separator element. The elongated member includes an interior and an exterior. The elongated member also includes a flow outlet disposed at one end. A plurality of annular flow inlets are disposed in the elongated member and adapted to guide fluid flow from a radial direction in the exterior of the elongated member to an axial direction in the interior of the elongated member.

Abstract: The invention is directed to compositions and methods for forming conductive patterned coatings of carbon nanotubes. Patterns are electrically conductive coatings/films made by exploiting self patterning nanostructures composed of electrically conductive materials. The resulting layer is suitable for conducting electricity in applications where a transparent electrode is required. Typical applications include, but are not limited to; LC displays, touch screens, EMI shielding windows, and architectural windows. Films may be highly transparent. In one embodiment, carbon nanotubes are applied to an insulating substrate to form an electrically conductive network of nanotubes with controlled porosity in the network. The open area between the networks of nanotubes, increases the optical transparency in the visible spectrum while the continuous nanotube phase provides electrical conductivity across the entire surface or patterned area.

Abstract: A non-marking, writing system simulates a physical writing system which has characteristic ranges of writing resistance, sound, resilience and thermal conductivity. The non-marking writing system includes a non-marking writing instrument having an elongated shank with opposite ends. A non-marking tip is connected to one end of the shank for engagement against and movement across a writing surface. The writing surface onto and across which the tip is moved for non-marking writing, creates an actual writing resistance. The tip is structured and made of selected material and the writing surface is made of selected material so that the actual writing resistance falls within the characteristic range of writing resistance for the physical writing system.

Abstract: A ceramic filled fluoropolymer-based electrical substrate material well suited for forming rigid printed wiring board substrate materials is presented which exhibits improved electrical performance over other printed wiring board materials. Also, the low coefficients of thermal expansion and compliant nature of this electrical substrate material results in improved surface mount reliability and plated through-hole reliability. The electrical substrate material preferably comprises polytetrafluoroethylene filled with silica along with a small amount microfiberglass. In an important feature of this invention, the ceramic filler (silica) is coated with a silane coating material which renders the surface of the ceramic hydrophobic and provides improved tensile strength, peel strenth and dimensional stability. In addition, even improved results are provided when the silane coating is comprised of a fluorinated silane or a combination of fluorinated and non-fluorinated silanes.